Data, code and supplementary information for: Hoefer S, Allen-Ankins S, McKnight DT, Nordberg EJ, Schwarzkopf L (2025) Sensors vs Surveyors: Comparing passive acoustic monitoring, camera trapping and observer-based monitoring for terrestrial mammals

Contains: /data: Data used in the analyses. mammal_data.csv: Main dataset containing individual detection of each mammal species for each survey plot at each site. mammals_PAM_daily_all.csv: Dataset containing validation of 46 example calls for 17 species of Australian vocal mammal. trait_detect.csv: Dataset containing life-history traits and detectability of 19 vocal mammal species used in this study. ReadMeDataFiles.txt: Meta-data describing the contents and structure of mammal_data.csv and mammals_PAM_daily_all.csv. /output: R code html. R_code_Hoefer2024.html: R code used for all data processing, visualisation, and analyses. R_code_Hoefer2024.qmd: R code used for all data processing, visualisation, and analyses. /supplemantary: Supplemantary tables and figures. supporting_information.pdf: Supplementary figures S1-S5 and tables S1-S5.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-15
DOI
https://doi.org/10.5281/zenodo.14928426
Primary Topic
Animal Vocal Communication and Behavior
Type
article
Field-Weighted Citation Impact
0.00
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article

Data, code and supplementary information for: Hoefer S, Allen-Ankins S, McKnight DT, Nordberg EJ, Schwarzkopf L (2025) Sensors vs Surveyors: Comparing passive acoustic monitoring, camera trapping and observer-based monitoring for terrestrial mammals

Zenodo (CERN European Organization for Nuclear Research)
Animal Vocal Communication and Behavior
article

Data, code and supplementary information for: Hoefer S, Allen-Ankins S, McKnight DT, Nordberg EJ, Schwarzkopf L (2025) Sensors vs Surveyors: Comparing passive acoustic monitoring, camera trapping and observer-based monitoring for terrestrial mammals

article en

Abstract

Contains: /data: Data used in the analyses. mammal_data.csv: Main dataset containing individual detection of each mammal species for each survey plot at each site. mammals_PAM_daily_all.csv: Dataset containing validation of 46 example calls for 17 species of Australian vocal mammal. trait_detect.csv: Dataset containing life-history traits and detectability of 19 vocal mammal species used in this study. ReadMeDataFiles.txt: Meta-data describing the contents and structure of mammal_data.csv and mammals_PAM_daily_all.csv. /output: R code html. R_code_Hoefer2024.html: R code used for all data processing, visualisation, and analyses. R_code_Hoefer2024.qmd: R code used for all data processing, visualisation, and analyses. /supplemantary: Supplemantary tables and figures. supporting_information.pdf: Supplementary figures S1-S5 and tables S1-S5.

Zenodo (CERN European Organization for Nuclear Research)
Save the Children (US), James Cook University (AU)
Openalex Percentile: Top 49%
Animal Vocal Communication and Behavior
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Data, code and supplementary information for: Hoefer S, Allen-Ankins S, McKnight DT, Nordberg EJ, Schwarzkopf L (2025) Sensors vs Surveyors: Comparing passive acoustic monitoring, camera trapping and observer-based monitoring for terrestrial mammals · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS